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- Barbara M. Byrne, Jichuan Wang, +10 authors Donald H. Saklofske
- 2011

An Exploration of Factors that Influence the Use of Information Technology for Institutional Effectiveness in Terms of the Research and Learning Productivity of a College Or University , Gordon E. Mills (Jr), 2008, , 292 pages. The second research question of this study was "Are there differences in the impact of the factors (technological, organizational,… (More)

- Helena C. Kraemer, George A. Morgan, Nancy L. Leech, Jeffrey A Gliner, Jerry J. Vaske, Robert Harmon
- Journal of the American Academy of Child and…
- 2003

Behavioral scientists are interested in answering three basic questions when examining the relationships between variables (Kirk, 2001). First, is an observed result real or should it be attributed to chance (i.e., statistical significance)? Second, if the result is real, how large is it (i.e., effect size)? Third, is the result large enough to be… (More)

The authors describe and illustrate 6 factors that affect the size of a Pearson correlation: (a) the amount of variability in the data, (b) differences in the shapes of the 2 distributions, (c) lack of linearity, (d) the presence of 1 or more “outliers,” (e) characteristics of the sample, and (f) measurement error. Also discussed are ways to determine… (More)

The purpose of this paper is to provide a typology of sampling designs for qualitative researchers. We introduce the following sampling strategies: (a) parallel sampling designs, which represent a body of sampling strategies that facilitate credible comparisons of two or more different subgroups that are extracted from the same levels of study; (b) nested… (More)

One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand… (More)

The first of 3 objectives in this study was to address the major problem with Null Hypothesis Significance Testing (NHST) and 2 common misconceptions related to NHST that cause confusion for students and researchers. The misconceptions are (a) a smaller p indicates a stronger relationship and (b) statistical significance indicates practical importance. The… (More)

In this article, we provide a framework for analyzing and interpreting sources that inform a literature review or, as it is more aptly called, a research synthesis. Specifically, using Leech and Onwuegbuzie’s (2007, 2008) frameworks, we delineate how the following four major source types inform research syntheses: talk, observations,… (More)

- Nancy L. Leech, Jeffrey A Gliner, George A. Morgan, Robert Harmon
- Journal of the American Academy of Child and…
- 2003

- Nancy L. Leech
- The Journal of psychology
- 2007

The author tested how well K. M. Cramer's model of willingness to seek counseling fit for master's level counseling students. Counseling students (N = 519) from across the United States completed a survey. Using structural equation modeling, the author found that Cramer's model fit with counseling students. Counseling students were most likely to report… (More)

This article provides an innovative meta-framework comprising strategies designed to guide qualitative data collection in the 21st century. We present a meta-framework comprising strategies for collecting data from interviews, focus groups, observations, and documents/material culture. We present a template for collecting nonverbal data during interviews… (More)